imbalance

Credit: The Conversation South Korea's bachelor time bomb is about to really go off. Following a historic 30-year-long imbalance in the male-to-female sex ratio at birth, young men far outnumber young women in the country. As a result, some 700,000 to 800,000 "extra" South Korean boys born since the mid-1980s may not be able to find South Korean girls to marry. …

Physicists have long puzzled over why there is more matter in the Universe than its flipped twin, antimatter. Without this imbalance, the two types of material would have canceled out, leaving nothing but a boring glow in the vast emptiness of space.Somehow, at some point, something changed in the way the Universe works on a fundamental level, favoring the mirrored state – or parity – of one kind of 'stuff' over the other.Scientists have sought clues to this critical moment in the remnants of the Big Bang, including the…

Understand Random Undersampling, Oversampling, SMOTE, ADASYN, and Tomek LinksClass imbalance occurs when one class in a classification problem significantly outweighs the other class. It’s common in many machine learning problems. Examples include fraud detection, anomaly detection, and medical diagnosis.A model trained on an imbalanced dataset perform poorly on the minority class. At best, this can cause loss to the business in the case of a churn analysis. At worst, it can pervade systemic bias of a face recognition…

The effect of high and low power on novelty score across rounds, Study 2. Error bars represent 95% confidence intervals. Credit: Journal of Experimental Social Psychology (2023). DOI: 10.1016/j.jesp.2023.104474 Power often boosts employees' creativity because it liberates them from constraints such as worrying that their ideas will be rejected. However, new research shows that employees who are not in positions of power can…

Imbalanced classification beyond resampling, threshold tuning, or cost-sensitive modelsPhoto by Denise Johnson on UnsplashImbalanced classification is a relevant machine learning task. This problem is usually handled with one of three approaches: resampling, cost-sensitive models, or threshold tuning.In this article, you’ll learn a different approach. We’ll explore how to use clustering analysis to tackle imbalanced classification.Many real-world problems involve imbalanced data sets. In these, one of the classes is rare…

Are you Searching Parameters Efficiently?Photo by Mpho Mojapelo on UnsplashMost data scientists, who attend meetings to present ML results to business stakeholders, usually answer questions like these:AUC? What is it? Could you please elaborate?Terms and concepts standard in data science daily routine may be unfamiliar to most. This frequently happens when artificial intelligence products are developed to solve real-world problems. In this scenario, data scientists work together and collaborate with domain experts to…

The government hopes to address the imbalance in content creation by news media companies and its monetisation by advertising technology companies in the upcoming Digital India Act, said Rajeev Chandrasekhar, Minister of State for Electronics and Information Technology. Chandrasekhar was speaking at an event by the Digital News Publishers Association in New Delhi on Friday.“We hope to address this issue of disproportionate control and imbalance of dynamics between content creation and its monetisation and the power that…

Class imbalance is a common issue where the distribution of examples within a dataset is skewed or biased.UnsplashIntroductionImbalanced classification is a common problem in machine learning, particularly in the realm of binary classification. This occurs when the training dataset has an unequal distribution of classes, leading to a potential bias in the trained model. Examples of imbalanced classification problems include fraud detection, claim prediction, default prediction, churn prediction, spam detection, anomaly…

Scientists have found an extremely subtle twist in the genetics of aging cells, one that seems to make them increasingly less functional as time goes on.Researchers from Northwestern University have revealed animals like mice, rats, killifish, and even humans show a gradual imbalance of long and short genes in virtually every cell in their body as they age.The discovery suggests there aren't specific genes that control the aging process. Instead, old age seems to be governed by systems-level changes with complex effects.…

Five lessons from the trenches of applied data sciencePhoto by Piret Ilver on UnsplashClass imbalance, where one class is much more abundant than the other, is one of the most ubiquitous topics in data science literature. Searching for ‘class imbalance’ on Medium alone reveals numerous articles with titles such as:“Dealing With Class Imbalanced Datasets For Classification”“How to Effortlessly Handle Class Imbalance with Python and SMOTE”“Stop Using SMOTE to Treat Class Imbalance”“A Loss Function Suitable for Class…